Metadata-Version: 2.1
Name: efel
Version: 4.1.56
Summary: Electrophys Feature Extract Library (eFEL)
Home-page: https://github.com/BlueBrain/eFEL
Author: BlueBrain Project, EPFL
Maintainer: Werner Van Geit
Maintainer-email: werner.vangeit@epfl.ch
License: LGPLv3
Keywords: feature,extraction,electrophysiology,BlueBrainProject
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: POSIX
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Provides-Extra: neo
License-File: LICENSE.txt
License-File: COPYING
License-File: COPYING.less
License-File: AUTHORS.txt

The Electrophys Feature Extract Library (eFEL) allows neuroscientists to automatically extract features from time series data recorded from neurons (both in vitro and in silico). Examples are the action potential width and amplitude in voltage traces recorded during whole-cell patch clamp experiments. The user of the library provides a set of traces and selects the features to be calculated. The library will then extract the requested features and return the values to the user.

